Tree structure

The tree elements are called "nodes". The lines connecting elements are called "branches". Nodes without children are called leaf nodes, "end-nodes", or "leaves".

Every finite tree structure has a member that has no superior. This member is called the "root" or root node. The root is the starting node. But the converse is not true: infinite tree structures may or may not have a root node.

The names of relationships between nodes model the kinship terminology of family relations. The gender-neutral names "parent" and "child" have largely displaced the older "father" and "son" terminology. The term "uncle" is still widely used for other nodes at the same level as the parent, although it is sometimes replaced with gender-neutral terms like "ommer".[1]

• A node's "parent" is a node one step higher in the hierarchy (i.e. closer to the root node) and lying on the same branch.
• "Sibling" ("brother" or "sister") nodes share the same parent node.
• A node's "uncles" (sometimes "ommers") are siblings of that node's parent.
• A node that is connected to all lower-level nodes is called an "ancestor". The connected lower-level nodes are "descendants" of the ancestor node.

In the example, "encyclopedia" is the parent of "science" and "culture", its children. "Art" and "craft" are siblings, and children of "culture", which is their parent and thus one of their ancestors. Also, "encyclopedia", as the root of the tree, is the ancestor of "science", "culture", "art" and "craft". Finally, "science", "art" and "craft", as leaves, are ancestors of no other node.

Tree structures can depict all kinds of taxonomic knowledge, such as family trees, the biological evolutionary tree, the evolutionary tree of a language family, the grammatical structure of a language (a key example being S → NP VP, meaning a sentence is a noun phrase and a verb phrase, with each in turn having other components which have other components), the way web pages are logically ordered in a web site, mathematical trees of integer sets, et cetera.

The Oxford English Dictionary records use of both the terms "tree structure" and "tree-diagram" from 1965 in Noam Chomsky's Aspects of the Theory of Syntax.[2]

In a tree structure there is one and only one path from any point to any other point.

Computer science uses tree structures extensively (see Tree (data structure) and telecommunications.)

For a formal definition see set theory, and for a generalization in which children are not necessarily successors, see prefix order.

A tree map used to represent a directory structure as a nested set.

information diagram in the shape of a tree illustrating the "evolution" of thermionic tubes (a type of vacuum tube) between 1883 and 1934.

• Internet:
  • usenet hierarchy
• Vacuum tubes
  • Document Object Model's logical structure,[3] Yahoo! subject index, Curlie
• Operating system: directory structure
• Information management: Dewey Decimal System, PSH, this hierarchical bulleted list
• Management: hierarchical organizational structures
• Computer Science:
  • binary search tree
  • red-black tree
  • AVL tree
  • R-tree
• Biology: evolutionary tree
• Business: pyramid selling scheme
• Project management: work breakdown structure
• Linguistics:
  • (Syntax) Phrase structure trees
  • (Historical Linguistics) Tree model of language change
• Sports: business chess, playoffs brackets
• Mathematics: Von Neumann universe
• Group theory: descendant trees

There are many ways of visually representing tree structures. Almost always, these boil down to variations, or combinations, of a few basic styles:

Nested sets

Nested sets that use enclosure/containment to show parenthood, examples include TreeMaps and fractal maps:

	encyclopedia
culture art   craft science

Kinds of trees

• B-tree
• Dancing tree
• Decision tree
• Left-child right-sibling binary tree
• Tree (data structure)
• Tree (graph theory)
• Tree (set theory)

Related articles

• Data drilling
• Hierarchical model: clustering and query
• Tree testing

Identification of some of the basic styles of tree structures can be found in:

• Jacques Bertin, Semiology of Graphics, 1983, University of Wisconsin Press (2nd edition 1973, ISBN 978-0299090609;
• Donald E. Knuth, The Art of Computer Programming, Volume I: Fundamental Algorithms, 1968, Addison-Wesley, pp. 309–310;
• Brian Johnson and Ben Shneiderman, Tree-maps: A space-filling approach to the visualization of hierarchical information structures, in Proceedings of IEEE Visualization (VIS), 1991, pp. 284–291, ISBN 0-8186-2245-8;
• Peter Eades, Tao Lin, and Xuemin Lin, Two Tree Drawing Conventions, International Journal of Computational Geometry and Applications, 1993, volume 3, number 2, pp. 133–153.
• Manuel Lima, The Book of Trees: Visualizing Branches of Knowledge (2014), Princeton Architectural Press, ISBN 978-1-616-89218-0

Wikimedia Commons has media related to Tree diagram.

• Visualization of phylogenetic trees on the T-REX server
• Using a tree structure to design a business process - from the Society for Technical Communication